Quantum Computing Opportunities In Renewable Energy Annarita Giani by Annarita Giani, Zachary Eldredge instant download after payment.

SN Computer Science, https://doi.org/10.1007/s42979-021-00786-3

Quantum computing is a new field of computing that relies on the laws of quantum mechanics to perform types of infor-
mation processing that are not possible on traditional (”classical”) computers. As a result, quantum computers are capable
of using problem-solving approaches which are not available to classical computers. Thus far, most research in quantum
computing has taken place in physics and theoretical computer science, leaving a disconnect between these researchers and
practical problems/applications. There is a need to identify good near-term problems to demonstrate quantum computing’s
problem-solving potential. One possible area of contribution is in renewable energy. Adoption and scale-up of renewable
resources in the next several decades will introduce many new challenges to the electrical grid due to the need to control
many more distributed resources and to account for the variability of weather-dependent generation flows. We identify a few
places where quantum computing is most likely to contribute to renewable energy problems: in simulation, in scheduling and
dispatch, and in reliability analyses. The problems have the common theme that there are potential future issues concerning
scalability of current approaches that quantum computing may address. We then recommend potentially fruitful areas of
crossover research to advance applications of quantum computing and renewable energy